Unverified50% confidenceFactExact time
PPO training for quadruped locomotion control often requires hundreds of millions of environment interaction steps to converge.
1
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50%
Confidence
Long-term
Relevance
10/11/2026
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Related Claims
UnverifiedResearchers trained an anthropomorphic robotic hand to perform walking movements using a task-customized PPO algorithm.72% similarUnverifiedTraining with on-policy algorithms such as PPO typically requires 10 million to 50 million steps, and for a scale of 3–5 drones, PyBullet's CPU serial simulation speed is already sufficient.71% similarVerifiedPPO prevents training collapse caused by excessively large policy updates by introducing trust region constraints, and is one of the most widely applied foundational algorithms in RL training of large models today.68% similarUnverifiedNVIDIA Isaac Gym 中的大规模并行训练广泛使用 PPO 算法67% similar
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